A novel miniaturized potentiometric electrode based on carbon nanotubes and molecularly imprinted polymer for the determination of lidocaine

IF 5.3 2区化学 Q1 CHEMISTRY, ANALYTICAL Microchimica Acta Pub Date : 2024-11-15 DOI:10.1007/s00604-024-06802-6

Saad S. M. Hassan, Mahmoud Abdelwahab Fathy

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Abstract

A novel miniaturized, solid-contact potentiometric screen-printed electrode was developed for highly sensitive and selective determination of lidocaine anesthetic. The electrode integrated single-walled carbon nanotubes as a solid-contact material and a molecularly imprinted polymer as a recognition sensory material. The performance characteristics of the electrode were evaluated and optimized to display a Nernstian slope of 58.92 ± 0.98 mV/decade over a linear concentration range of 4.53 × 10⁻⁷ to 6.18 × 10⁻³ mol/l within < 6 s. The detection limit was 7.75 × 10⁻⁸ mol/l (18.16 ng/ml) of lidocaine. The use of the molecularly imprinted polymer significantly enhanced the selectivity of the electrode, and carbon nanotubes increased the sensitivity, accuracy, and potential stability. The electrode was successfully used for determining lidocaine in pharmaceutical preparations and human urine. The results favorably compared with data obtained by liquid chromatography–tandem mass spectrometry.

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基于碳纳米管和分子印迹聚合物的新型微型电位电极，用于测定利多卡因。

为高灵敏度和高选择性地测定利多卡因麻醉剂，开发了一种新型微型固体接触电位丝网印刷电极。该电极集成了作为固体接触材料的单壁碳纳米管和作为识别感应材料的分子印迹聚合物。对该电极的性能特征进行了评估和优化，在利多卡因-8 摩尔/升（18.16 毫微克/毫升）的 4.53 × 10-7 至 6.18 × 10-3 摩尔/升的线性浓度范围内，其 Nernstian 斜率为 58.92 ± 0.98 毫伏/分。分子印迹聚合物的使用大大提高了电极的选择性，而碳纳米管则提高了灵敏度、准确性和电位稳定性。该电极被成功用于测定药物制剂和人体尿液中的利多卡因。结果与液相色谱-串联质谱法获得的数据进行了比较。

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来源期刊

Microchimica Acta 化学-分析化学

CiteScore

9.80

自引率

5.30%

发文量

410

审稿时长

2.7 months

期刊介绍： As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.